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Interpreting deep learning models for glioma survival classification using visualization and textual explanations
BACKGROUND: Saliency-based algorithms are able to explain the relationship between input image pixels and deep-learning model predictions. However, it may be difficult to assess the clinical value of the most important image features and the model predictions derived from the raw saliency map. This...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583453/ https://www.ncbi.nlm.nih.gov/pubmed/37853371 http://dx.doi.org/10.1186/s12911-023-02320-2 |